Oncology Clinical Researcher

About the Role

What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing research tools used by scientists and clinicians worldwide?

We're looking for experienced Oncology Clinical Researchers to bring real-world expertise into AI development workflows. You'll review, evaluate, and improve AI-generated oncology content — ensuring that the models powering tomorrow's cancer research are grounded in rigorous clinical science, regulatory standards, and patient-centered evidence.

This is a fully remote, flexible contract role. No AI background required — just deep oncology expertise and a sharp eye for clinical accuracy.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Review and evaluate AI-generated oncology content for clinical accuracy, regulatory alignment, and scientific rigor
• Apply your expertise in trial design — protocols, patient enrollment, endpoints, and ethics — to assess how well AI captures real-world standards
• Analyze AI outputs related to cancer trial data, including safety profiles, efficacy results, and biomarker interpretation
• Evaluate AI-generated regulatory and scientific content against FDA, EMA, and ICH standards
• Flag errors, gaps, or misleading outputs and provide structured, expert feedback
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Experienced in designing and managing oncology clinical trials from protocol development through data readout
• Strong background in analyzing oncology clinical data — endpoints, safety profiles, biomarkers, and statistical outputs
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented with a systematic approach to evaluating complex scientific content
• Comfortable working independently and delivering high-quality written feedback
• No prior AI or tech experience required

Nice to Have

• Experience with data annotation, data quality review, or evaluation systems
• Background in translational oncology, biomarker research, or precision medicine
• Familiarity with clinical trial phases across solid tumors or hematologic malignancies
• Prior involvement in regulatory submissions, publications, or clinical guideline development

Why Join Us

• Work directly on frontier AI systems transforming the future of cancer research
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-stakes scientific work
• Shape how AI models understand real oncology data — a direct, tangible contribution to the field
• Collaborate with leading AI research teams and labs on cutting-edge projects
• Potential for ongoing work and contract extension as new projects launch